Group decision making with incomplete information:a dominance and quasi-optimality volume-based approach using Monte-Carlo simulation
- Autor(en)
- Paula Sarabando, Luís C. Dias, Rudolf Vetschera
- Abstrakt
In this paper, we present a comprehensive framework for multiattribute group decision making considering that neither information about individual preferences nor the importance of individual decision makers for the group is available in exact form. We study several different forms of incomplete reference information, including a ranking of attribute weights, ranking of values of alternatives in each attribute, and ranking of value differences. Our approach is based on relative volumes in parameter space and allows for probabilistic statements about different results, including optimality or quasi-optimality of alternatives, or relations between alternatives
- Organisation(en)
- Institut für Business Decisions and Analytics
- Externe Organisation(en)
- INESC Coimbra, Universidade de Coimbra
- Journal
- International Transactions in Operational Research
- Band
- 26
- Seiten
- 318-339
- Anzahl der Seiten
- 22
- ISSN
- 0969-6016
- DOI
- https://doi.org/10.1111/itor.12315
- Publikationsdatum
- 06-2016
- Peer-reviewed
- Ja
- ÖFOS 2012
- 502052 Betriebswirtschaftslehre
- Schlagwörter
- ASJC Scopus Sachgebiete
- Management of Technology and Innovation, Business and International Management, Computer Science Applications, Strategy and Management, Management Science and Operations Research
- Link zum Portal
- https://ucris.univie.ac.at/portal/de/publications/group-decision-making-with-incomplete-informationa-dominance-and-quasioptimality-volumebased-approach-using-montecarlo-simulation(2dbaf524-bd07-450b-9d2a-d836d3a0b515).html